Widely-used operating systems provide inadequate support for large-scale Internet server applications. Their algorithms and interfaces fail to e ciently support either event-drive...
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
We show that previous algorithmic and scheduling work concerning the use of lock-free objects in hard real-timesystems can be extended to support real-time transactions on memory-...
James H. Anderson, Srikanth Ramamurthy, Mark Moir,...
In this paper we describe a web-based tool that supports the human in revising ontology alignments. Our tool uses logical reasoning as a basis for detecting conflicts in mappings ...
Christian Meilicke, Heiner Stuckenschmidt, Ondrej ...
Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...